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Metro Area

AI Job Risk in Danbury, CT

Danbury, CT scores 52.4/100 for AI job risk, ranking #139 out of 396 us metro areas. That puts it around the middle — a moderate mix of AI-vulnerable and AI-resistant jobs in the local economy.

52.4 /100
High Risk

Ranked #139 of 396 us metro areas

52.4
Low risk High risk

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Rank

#139

around the middle

Total Workforce

76 K

jobs analysed

High-Risk Jobs

3.3 K

4% of workforce

Out of

396

us metro areas

Most at Risk

Jobs in Danbury, CT most likely to be automated or transformed by AI

1

Data Entry Keyer

50 employed

95
2

Bookkeeper

880 employed

90
3

Customer Service Representative

1.4 K employed

90
4

Computer Programmer

60 employed

88
5

Copywriter

30 employed

88
6

Bank Teller

230 employed

85
7

Payroll Clerk

60 employed

85
8

Software Developer

500 employed

85
9

Web Developer

40 employed

85
10

Software Engineer

85

Safest from AI

Jobs in Danbury, CT least likely to be affected by AI

1

Zookeeper

160 employed

10
2

Landscaper

930 employed

10
3

Roofer

70 employed

10
4

Farm Worker

30 employed

12
5

Massage Therapist

60 employed

12
6

Concrete Finisher

90 employed

12
7

Janitor

1.2 K employed

12
8

Hair Stylist

220 employed

15
9

Painter

90 employed

15
10

Childcare Worker

230 employed

15

What this means

The exposure score (52.4/100) measures how much of Danbury, CT's workforce is in jobs that AI can automate or significantly change. It's not a prediction that jobs will disappear — it's a measure of how exposed the local economy is to AI-driven change.

How it works: We score 289 occupations from 0 (AI has little impact) to 100 (AI can do most of the job) using 10 research sources. We then match these scores to real employment data for Danbury, CT, weighting by how many people actually work in each role.

High-risk jobs (score 60+) include roles like customer service, data entry, and bookkeeping where AI can already handle most tasks. Low-risk jobs (score under 30) include trades, healthcare, and social work where physical presence or human judgement is essential.

Full methodology · Data covers 49% of occupation categories in this area

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